A body swing collision avoidance system and method for a machine with steerable traction devices for moving the machine. Sensors monitor obstacles around the machine. A commanded body swing path is calculated based on operator steering commands. If an obstacle is in the commanded body swing path, the system automatically adjusts the steering commands to avoid collision with the obstacle. A time to collision can be calculated, and the steering commands adjusted only when it is below a threshold. Adjusting the steering commands to avoid collision can include determining propel and steer components based on the steering commands; and if propel is greater than a threshold then adjusting the steering commands to adjust the swing path to avoid collision; and if propel is less than the threshold then adjusting the steering commands to slow the machine to avoid collision.

An apparatus for controlling an MDPS system including: an autonomous driving cancellation determination unit configured to determine whether to cancel autonomous driving, using column torque passed through a band stop filter, under an autonomous driving condition; and a signal processing unit configured to calculate command steering angle acceleration information using command steering angle information outputted from an autonomous driving system. When the steering angle acceleration information is equal to or greater than a predetermined reference value, the autonomous driving cancellation determination unit may determine that urgent steering is performed by the autonomous driving system, and forbid cancellation of the autonomous driving.

An impairment analysis (“IA”) computer system for detecting an impairment is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate or otherwise scan a target vehicle by using a plurality of sensors included on a host vehicle to scan the target vehicle and a target driver; (ii) receive sensor data including target driver data and target vehicle condition data; (iii) analyze the sensor data by applying a baseline model to the sensor data; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and/or (v) output an alert signal to a host vehicle controller, or direct collision preventing actions (such as automatically engage vehicle safety systems), based upon the determination that the target driver or target vehicle is impaired.

A system and method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors. The path is configured to be updatable dynamically based on changes in the destination location or changes along the path. The destination location is a parking spot for the vehicle at the parking location.

A collision avoidance device for a vehicle is provided. The collision avoidance device includes an object sensing unit for sensing an object, an attribute acquisition unit for using a sensing result from the object sensing unit to acquire an attribute of an oncoming vehicle, and a collision avoidance execution unit for executing at least one of a notification of a possibility of collision and a collision avoidance operation, if it is determined, based on the attribute acquired by the attribute acquisition unit, that the oncoming vehicle crosses a center line.

A vehicle includes an inputter receiving an emergency stop command; an emergency stop condition determiner determining that an emergency stop condition is satisfied when a driver's state is determined as a predetermined inoperable state, a steering wheel is not operated for a predetermined time period, or a rate of change of a yaw rate of the vehicle exceeds a predetermined value; a sensor configured for detecting an obstacle around the vehicle; and a controller configured to determine whether the vehicle can avoid collision with a front obstacle only by braking without a lane change, to determine a risk area in an adjacent lane based on a braking distance of the vehicle and obstacle detection information in a lane adjacent to a driving lane of the vehicle, and to control the lane change or a braking process of the vehicle based on whether the obstacle is detected in the determined risk area.

A system for avoiding a collision based on a vision includes a camera for filming a region ahead of a vehicle, a path generating device that sets a travelable region where the vehicle may travel by avoiding an obstacle in a vision of the region ahead of the vehicle filmed by the camera, and generates one or more travel paths in the travelable region, and a motion controller that selects one optimal path from the travel paths to perform a longitudinal control or a lateral control of the vehicle such that the vehicle travels along the optimal path.

Provided is a vehicle control system capable of securing stability even in the event of a collision with a travel-path defining line such as a guardrail. The invention recognizes the travel-path defining line of a travel path from information about an area in a traveling direction of an ego vehicle, recognizes a traveling-direction virtual line extending from the ego vehicle in the traveling direction, and imparts a yaw moment control amount so that a formed angle between the traveling-direction virtual line and the travel-path defining line decreases after the ego vehicle collides with the travel-path defining line.

A method and a device for controlling the lane-keeping of a motor vehicle, wherein the motor vehicle has a lane-keeping assistant with at least the states inactive and active, which lane-keeping assistant is used to keep the vehicle in the driver's own lane. The method includes checking whether the vehicle has drifted into the opposite lane; checking whether there is opposing traffic in the opposite lane; activating the lane-keeping assistant if the vehicle has drifted and there is opposing traffic; controlling the lane-keeping assistant with respect to the oncoming object by active steering intervention, wherein the oncoming vehicle is interpreted as a lane boundary of the driver's own lane.

A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.